Data Architect

We are seeking a Data Architect to define and advance the enterprise data architecture that underpins our business, analytics, and AI strategy.

Requirements

• Define and govern the enterprise's conceptual, logical, and canonical data architecture.
• Lead the development of domain models that reflect core business entities, relationships, processes, and events across major functional areas.
• Define and govern the metadata architecture: active metadata strategy, data catalog integration, and lineage representation across pipeline and model layers.
• Lead technical design reviews for new data products, pipelines, and integrations.
• Identify and document the System of Record, Single Source of Truth, and Single Version of Truth for each entity within each domain, and govern the distinction between them across the Medallion architecture.
• Partner with data governance, engineering, analytics, and architecture teams to ensure models are implemented in a governed and practical way.
• Enable the implementation of enterprise models within modern cloud and Lakehouse platforms, including Databricks, with appropriate governance and reuse.
• Design and evolve ontologies, taxonomies, and semantic models that support interoperability, metadata, analytics, and AI initiatives.
• Advise leadership and delivery teams on target-state data architecture, domain ownership, and long-term information strategy.
• Mentor architects, modelers, and senior technical teams in best practices for enterprise data and semantic architecture.
• Conduct a structured audit of existing data models, domain definitions, and any nascent ontology work, producing a gap assessment and prioritized roadmap.
• Publish a canonical domain map to serve as the authoritative list of data domains, their bounded contexts, primary entities, and system-of-record mappings.

Benefits

• Bonus eligibility
• Comprehensive benefits program